AI Governance Consultancy

At Cloud Peach AI, we recognize that while Artificial Intelligence offers immense potential for economic and societal transformation, its rapid adoption introduces unique challenges to safety, non-discrimination, and fundamental rights. Our consultancy services provide a comprehensive framework to help your organization navigate these complexities, ensuring your AI systems are not only high-performing but also trustworthy, ethical, and compliant.

Integrating well-established models like ISO 42001 and the NIST AI Risk Management Framework, we guide you through the entire AI lifecycle—from initial conception to retirement.

Core Governance Pillars

We help you implement a holistic structure designed to foster human-centric AI while supporting innovation.

1. Organizational Foundation (GOVERN)

We assist leadership in cultivating a risk management culture and defining a clear AI Policy.

• Roles & Responsibilities: Defining clear accountability for AI actors, including developers, deployers, and operators.

• Workforce Capability: Building diverse teams and specialized roles to identify and mitigate emergent socio-technical risks.

• Risk management is an iterative process. We help you quantify potential harms and frame your AI context.

2. Risk Assessment & Planning (MAP & MEASURE)

Risk management is an iterative process. We help you quantify potential harms and frame your AI context.

• Impact Assessments: Rigorous evaluation of potential negative consequences for individuals, groups, and ecosystems, with a focus on High-Risk AI Systems (HRAIS).

• Bias Detection: Applying specialized metrics like Demographic Parity and Equalized Odds to mitigate discrimination stemming from training data or algorithms.

3. Operational Management (MANAGE)

We translate policy into day-to-day activity to ensure systems function consistently with ethical standards.

• Data Governance: Implementing procedures for data provenance, selection, and bias detection.

• Human Oversight: Designing Human-in-the-Loop (HITL) systems that allow operators to oversee, override, or reverse AI decisions when necessary.

• Transparency & Explainability: Utilizing techniques like SHAP or LIME to provide insights into model outputs and marking artificially generated content (deep fakes).

4. Performance & Continual Improvement

We ensure your AI management system remains effective as technology and regulations evolve.

• Post-Market Monitoring: Establishing systematic collection of performance data to evaluate ongoing compliance and report serious incidents.

• Incident Response: Creating fail-safe mechanisms and corrective action plans to address nonconformities and eliminate root causes.

Why Cloud Peach AI?

The shift toward global AI legislation, such as the EU AI Act, makes governance a business imperative. Our consultancy ensures your organization balances critical trade-offs such as predictive accuracy versus interpretability based on your specific context of use.

Ready to build trust through responsible AI? Would you like me to draft a specific "Service Package" list based on this framework to help potential clients choose a starting point?

Integrating well-established models like ISO 42001 and the NIST AI Risk Management Framework, we guide you through the entire AI lifecycle—from initial conception to retirement.